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ORCIDTimon Gehr
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2020 – today
- 2024
[j2]Hristo Venev, Timon Gehr, Dimitar Dimitrov, Martin T. Vechev:
Modular Synthesis of Efficient Quantum Uncomputation. Proc. ACM Program. Lang. 8(OOPSLA2): 2097-2124 (2024)- [i4]Hristo Venev, Timon Gehr, Dimitar Dimitrov, Martin T. Vechev:
Modular Synthesis of Efficient Quantum Uncomputation. CoRR abs/2406.14227 (2024) - [i3]Mert Ünsal, Timon Gehr, Martin T. Vechev:
AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs. CoRR abs/2410.02666 (2024) - 2022
- [b1]Timon Gehr:
Symbolic Methods for Machine Intelligence. ETH Zurich, Zürich, Switzerland, 2022 - [c19]Dimitar Iliev Dimitrov, Gagandeep Singh
, Timon Gehr, Martin T. Vechev:
Provably Robust Adversarial Examples. ICLR 2022 - 2021
- [c18]Matthew Mirman, Alexander Hägele, Pavol Bielik, Timon Gehr, Martin T. Vechev:
Robustness certification with generative models. PLDI 2021: 1141-1154 - 2020
- [c17]Benjamin Bichsel, Maximilian Baader, Timon Gehr, Martin T. Vechev:
Silq: a high-level quantum language with safe uncomputation and intuitive semantics. PLDI 2020: 286-300 - [c16]Timon Gehr, Samuel Steffen, Martin T. Vechev:
λPSI: exact inference for higher-order probabilistic programs. PLDI 2020: 883-897 - [c15]Samuel Steffen, Timon Gehr, Petar Tsankov, Laurent Vanbever, Martin T. Vechev:
Probabilistic Verification of Network Configurations. SIGCOMM 2020: 750-764 - [i2]Matthew Mirman, Timon Gehr, Martin T. Vechev:
Robustness Certification of Generative Models. CoRR abs/2004.14756 (2020) - [i1]Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin T. Vechev:
Scalable Inference of Symbolic Adversarial Examples. CoRR abs/2007.12133 (2020)
2010 – 2019
- 2019
- [j1]Gagandeep Singh, Timon Gehr, Markus Püschel, Martin T. Vechev:
An abstract domain for certifying neural networks. Proc. ACM Program. Lang. 3(POPL): 41:1-41:30 (2019) - [c14]Gagandeep Singh, Timon Gehr, Markus Püschel, Martin T. Vechev:
Boosting Robustness Certification of Neural Networks. ICLR (Poster) 2019 - [c13]Marc Fischer, Mislav Balunovic, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, Martin T. Vechev:
DL2: Training and Querying Neural Networks with Logic. ICML 2019: 1931-1941 - [c12]Mislav Balunovic, Maximilian Baader, Gagandeep Singh, Timon Gehr, Martin T. Vechev:
Certifying Geometric Robustness of Neural Networks. NeurIPS 2019: 15287-15297 - 2018
- [c11]Benjamin Bichsel, Timon Gehr, Dana Drachsler-Cohen, Petar Tsankov, Martin T. Vechev:
DP-Finder: Finding Differential Privacy Violations by Sampling and Optimization. CCS 2018: 508-524 - [c10]Benjamin Bichsel, Timon Gehr, Martin T. Vechev:
Fine-Grained Semantics for Probabilistic Programs. ESOP 2018: 145-185 - [c9]Matthew Mirman, Dimitar K. Dimitrov, Pavle Djordjevic, Timon Gehr, Martin T. Vechev:
Training Neural Machines with Trace-Based Supervision. ICML 2018: 3566-3574 - [c8]Matthew Mirman, Timon Gehr, Martin T. Vechev:
Differentiable Abstract Interpretation for Provably Robust Neural Networks. ICML 2018: 3575-3583 - [c7]Gagandeep Singh, Timon Gehr, Matthew Mirman, Markus Püschel, Martin T. Vechev:
Fast and Effective Robustness Certification. NeurIPS 2018: 10825-10836 - [c6]Marco F. Cusumano-Towner, Benjamin Bichsel, Timon Gehr, Martin T. Vechev, Vikash K. Mansinghka:
Incremental inference for probabilistic programs. PLDI 2018: 571-585 - [c5]Timon Gehr, Sasa Misailovic, Petar Tsankov, Laurent Vanbever, Pascal Wiesmann, Martin T. Vechev:
Bayonet: probabilistic inference for networks. PLDI 2018: 586-602 - [c4]Timon Gehr, Matthew Mirman, Dana Drachsler-Cohen, Petar Tsankov, Swarat Chaudhuri, Martin T. Vechev:
AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation. IEEE Symposium on Security and Privacy 2018: 3-18 - 2017
- [c3]Martin Kucera, Petar Tsankov, Timon Gehr, Marco Guarnieri, Martin T. Vechev:
Synthesis of Probabilistic Privacy Enforcement. CCS 2017: 391-408 - 2016
- [c2]Timon Gehr, Sasa Misailovic, Martin T. Vechev:
PSI: Exact Symbolic Inference for Probabilistic Programs. CAV (1) 2016: 62-83 - 2015
- [c1]Timon Gehr, Dimitar K. Dimitrov, Martin T. Vechev:
Learning Commutativity Specifications. CAV (1) 2015: 307-323
Coauthor Index
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